Transformation

Data Validation Hub

Ensuring data quality for your SAP S/4HANA transformation

Avoid time-consuming manual reporting

The analysis of data quality and the final check for completeness and correctness of the data migration are essential components that accompany every SAP S/4 HANA transformation project. The creation of meaningful reports for all areas and stakeholders requires both professional know-how and the technical prerequisites to be able to process and evaluate large amounts of data.

Your benefits

Best practice KPIs

Our best practice KPIs give you a quick and reliable first insight into the quality of your data and the results of the data migration.

Highly automated

Our Hub provides on-demand data visibility, increasing speed while reducing the manual effort required to consolidate and analyse data from multiple data sources.

All-in-one solution

The Data Validation Hub covers various business-critical scenarios of a S/4HANA transformation, including master data, logistics or finance and controlling.

Interactive dashboards

Your data is visualised with state-of-the-art self-service BI tools, giving you a quick and intuitive view of your data quality and the latest migration status.

A hub for automated reporting, data analysis and visualisation

We offer validation scenarios with fast and flexible applications in the customer environment.

01

Preparation Phase

The prefabricated validation scenarios of the Data Validation Hub (workflows and dashboards) are installed and executed in the customer environment

02

Data Extraction

Collection of data from different data sources and integration via predefined file structures

03

Data Transformation

Data transformation into the standardised data model structure and KPI calculations via Alteryx

04

Report Provisioning

Analysis and presentation of results via interactive dashboards and metrics with PowerBI

05

Analysis Phase

Determine actions based on the results and problems identified (e.g. data quality problems or deltas identified)

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